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Results for "data concepts"


  • Status: Free Trial
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    J

    Johns Hopkins University

    Linear Algebra from Elementary to Advanced

    Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Advanced Mathematics, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Graph Theory, Applied Machine Learning, Markov Model, Probability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    210 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    I

    Imperial College London

    Getting started with TensorFlow 2

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Program Development, Data Validation, Applied Machine Learning, Supervised Learning, Predictive Modeling, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Jupyter, Application Programming Interface (API)

    4.9
    Rating, 4.9 out of 5 stars
    ·
    580 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Machine Learning: Supervised Learning

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Python Programming, Classification And Regression Tree (CART), Mathematical Modeling, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Feature Engineering, Data Cleansing, Performance Tuning

    Build toward a degree

    3.3
    Rating, 3.3 out of 5 stars
    ·
    86 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    F

    Fractal Analytics

    Generative AI for Business Consultants

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Data Ethics, Artificial Intelligence, Business Consulting, Leadership, AI Product Strategy, Consulting, Management Consulting, Technical Consulting, Customer Insights, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Automation, Microsoft Copilot, Innovation, Problem Solving, Critical Thinking, Data Security

    4.6
    Rating, 4.6 out of 5 stars
    ·
    190 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Social Network Analysis

    Skills you'll gain: Social Network Analysis, Network Analysis, Data Wrangling, Social Sciences, Graph Theory, Statistical Visualization, Data Manipulation, Data Visualization, Data Analysis, Predictive Analytics, Simulations

    4.7
    Rating, 4.7 out of 5 stars
    ·
    241 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Foundation Models and Platforms

    Skills you'll gain: Generative AI, Generative Model Architectures, OpenAI, Large Language Modeling, LLM Application, Prompt Engineering, Deep Learning, Responsible AI, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    292 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Introduction to Statistical Analysis: Hypothesis Testing

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, SAS (Software), Regression Analysis, Exploratory Data Analysis, Statistical Methods, Probability & Statistics, Statistical Modeling, Plot (Graphics), Data Literacy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    171 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Cloud Management, DevOps, Continuous Deployment, CI/CD, Machine Learning, Automation, Data Pipelines, Version Control

    4
    Rating, 4 out of 5 stars
    ·
    476 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to R Programming and Tidyverse

    Skills you'll gain: Rmarkdown, Ggplot2, Data Visualization, Tidyverse (R Package), Statistical Visualization, R Programming, Data Visualization Software, Statistical Programming, Data Manipulation, Data Analysis, Data Wrangling, Data Transformation, Software Installation, Programming Principles, Software Documentation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    48 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    A

    Amazon Web Services

    Fundamentals of Machine Learning and Artificial Intelligence

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.1K reviews

    Mixed · Course · 1 - 4 Weeks

  • S

    SAS

    Practical SAS Programming and Certification Review

    Skills you'll gain: SAS (Software), Data Import/Export, Statistical Analysis, Data Analysis, Statistical Programming, Data Manipulation, Data Processing, Data Access, Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    356 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Preparing for AI-900: Microsoft Azure AI Fundamentals exam

    Skills you'll gain: Natural Language Processing, Microsoft Azure, Computer Vision, No-Code Development, Machine Learning, Predictive Modeling, Artificial Intelligence, Responsible AI

    4.7
    Rating, 4.7 out of 5 stars
    ·
    190 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular data concepts courses

  • Linear Algebra from Elementary to Advanced: Johns Hopkins University
  • Getting started with TensorFlow 2: Imperial College London
  • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
  • Generative AI for Business Consultants: Fractal Analytics
  • Social Network Analysis: University of California, Davis
  • Generative AI: Foundation Models and Platforms: IBM
  • Introduction to Statistical Analysis: Hypothesis Testing: SAS
  • Machine Learning Operations (MLOps): Getting Started: Google Cloud
  • Introduction to R Programming and Tidyverse: University of Colorado Boulder
  • Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services

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